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Control on the Stacking Mode in a Sulfonic Covalent Organic Framework Enabling a Precise Uranyl-Identified Pocket for Ultrahigh-Capacity Uranium Extraction from Seawater
Analysis of hybrid integer wavelet transform and singular value decomposition for image steganography under various noise conditions
sln-Topological Covalent Organic Frameworks with Shape Dimorphism and Dipolar Rotors
Proteomic analysis of differential responses to norflurazon herbicide in the model green alga Chlamydomonas reinhardtii
Abstract Norflurazon is a widely utilized pesticide in agriculture for weed management. The mechanism of action involves the inhibition of an initial step in carotenoid synthesis. This inhibition results in the instability of the photosynthetic machinery and subsequent cell bleaching. Microalgae have attracted significant interest for the production of valuable products. Nonetheless, the mass cultivation of microalgae continues to encounter many challenges that result in high production costs. A potential issue in photobioreactor and open pond cultivation is contamination by other microalgae, which can destroy the mass culture entirely. Strains exhibiting greater resistance to specific chemicals may be beneficial in reducing contamination from other algae. Furthermore, integrating microalgal production with phycoremediation constitutes a sustainable approach to the circular economy. Many norflurazon-resistant microalgae strains have been developed, including the model unicellular green microalga Chlamydomonas reinhardtii. In previous studies, mutant and transgenic strains resistant to high concentrations of norflurazon have been generated to study herbicide tolerance in Chlamydomonas reinhardtii. Nonetheless, the application of genetically engineered organisms should remain cautious. Moreover, mutant strains generated through conventional methods were created using very high chemical concentrations. The effects of introducing such strains on the composition of organisms in the environment remain a concern. This study investigated the feasibility of utilizing natural isolates of this alga for mass production in the presence of norflurazon. Twenty isolates of this alga were evaluated for tolerance to norflurazon. The two most tolerant isolates demonstrated the ability to withstand 5–10 µM of norflurazon, a concentration previously employed to select mutants and transformants resistant to norflurazon. Physiological and proteomic data revealed an enhancement of photosynthesis and photoprotection processes as the primary mechanism for norflurazon tolerance in one isolate, whereas another isolate demonstrated a reduction in protein synthesis, photosynthesis, and cell motility.
Local Symmetry Breaking and Hidden Spin Polarization in 2D Hybrid Perovskites with Nonprimary Ammonium Cations
Synthesis and characterization of bio-based eco-friendly biofilm composites reinforced with waste eggshell powder
Unexpected Generation of Singlet Oxygen at the Air–Water Interface of Aqueous Microdroplets
Differential gene expression drives muscle metabolic and structural differences in Liang Guang small spotted vs. large white pigs
Solvation Free Energies of Anions: From Curated Reference Data to Predictive Models
Winding fault detection based on current information of induction motors
Ir( <i>hkl</i> ) Surface Electrochemistry in a Nonadsorbing Acidic Medium
Temporal metabolomic fingerprinting identifies adenine as a novel biomarker for early detection of Escherichia coli infection in broiler chickens
Abstract Avian pathogenic Escherichia coli causes septicemia in broiler chickens leading to high mortality and economic losses. Current diagnostic methods, such as serology and culture, cannot detect infections during early asymptomatic stages. Hence, this study focused on identifying novel serum metabolic biomarkers and pathways as an early detection prediction tool. Ross broiler chicks were challenged with E. coli at 3 or 5 d of age, and blood samples collected at 8 and 24 h following infection. Serum samples were analyzed for metabolite alterations using targeted The Metabolomics Innovation Centre (TMIC) mega metabolomics assay. Data was processed through comprehensive statistical analyses, including univariate, multivariate, and meta-analysis approaches. At 8 h post-infection, top metabolites like adenine, N-acetyl-alanine, N-acetyl-soleucine, N-acetyl-valine, and orotic acid related to nucleotide and amino acid metabolisms were downregulated (p = < 0.05). At 24 h, a distinct metabolic shift emerged with hippuric acid increasing, while adenine showed further depletion, accompanied by decreases in N1-acetylspermidine, N-acetylputrescine, and a modest increase in picolinic acid related to nucleotide, polyamine and immune response pathways (p = < 0.05). Correlation metabolite networks show that at 8 h post-infection, broiler chicken showed enhanced metabolic coordination, while at 24 h, disruptions in polyamine, nucleoside, and fatty acid pathways reflected systemic rewiring. The progressive depletion of adenine at both 8 and 24 h post-infection supports it as a novel metabolite signature for E. coli infection.